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Automated processing for proton spectroscopic imaging using water reference deconvolution.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 1994 Jun; Vol. 31 (6), pp. 589-95. - Publication Year :
- 1994
-
Abstract
- Automated formation of MR spectroscopic images (MRSI) is necessary before routine application of these methods is possible for in vivo studies; however, this task is complicated by the presence of spatially dependent instrumental distortions and the complex nature of the MR spectrum. A data processing method is presented for completely automated formation of in vivo proton spectroscopic images, and applied for analysis of human brain metabolites. This procedure uses the water reference deconvolution method (G. A. Morris, J. Magn. Reson. 80, 547(1988)) to correct for line shape distortions caused by instrumental and sample characteristics, followed by parametric spectral analysis. Results for automated image formation were found to compare favorably with operator dependent spectral integration methods. While the water reference deconvolution processing was found to provide good correction of spatially dependent resonance frequency shifts, it was found to be susceptible to errors for correction of line shape distortions. These occur due to differences between the water reference and the metabolite distributions.
- Subjects :
- Artifacts
Aspartic Acid analogs & derivatives
Aspartic Acid metabolism
Body Water metabolism
Brain metabolism
Choline metabolism
Creatine metabolism
Fourier Analysis
Humans
Hydrogen
Lactates metabolism
Lipid Metabolism
Magnetic Resonance Imaging
Multiple Sclerosis metabolism
Phosphocreatine metabolism
Protons
Electronic Data Processing
Image Enhancement methods
Magnetic Resonance Spectroscopy methods
Water
Subjects
Details
- Language :
- English
- ISSN :
- 0740-3194
- Volume :
- 31
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 8057811
- Full Text :
- https://doi.org/10.1002/mrm.1910310603